Tutorial
OpenCV computer vision library specialized in classic, but its official Chinese version of the tutorial is not a long time coming. Recently, a new version of OpenCV4.1 complete Chinese version of the official tutorial released, readers can better learn about OpenCV details. Tutorials from objectdetection.cn.
Course Catalog
Introduction to OpenCV
0_OpenCV-Python Tutorials
OpenCV installation
1_1_OpenCV-Python Tutorial
1_2_ installed in Windows OpenCV-Python
1_3_ install OpenCV-Python in Fedora
1_4_ install OpenCV-Python in Ubuntu
OpenCV GUI features in
2_1_ image entry
2_2_ video entry
2_3_OpenCV in graphics
2_4_ mouse as a paintbrush
2_5_ track bar as a palette
The core operation
the basic operation of the image 3_1_
arithmetic operation on the image 3_2_
3_3_ and improve performance measurement techniques
OpenCV image processing
4_1_ changes the color space
4_2_ image geometry transformation
4_3_ image threshold
4_4_ image smoothing
4_5_ morphological conversion
4_6_ image gradients
4_7_Canny edge detection
4_8_ image pyramid
in profile 4_9_1_OpenCV
4_9_2_ outline feature
4_9_3_ profile properties
4_9_4_ profile: more property
4_9_5_ profile layered
4_10_1_ histogram -1: search, mapping, analysis
4_10_2_ histogram -2: histogram equalization
4_10_3_ histogram 3: two-dimensional histogram
4_10_4_ histogram -4 : histogram back projection
4_11_ Fourier transform
4_12_ template matching
4_13_ Hough line transform
4_14_ Hough circle transform
4_15_ watershed image segmentation algorithm
4_16_ interactive foreground extraction algorithm using GrabCut
Feature detection and description
5_1_ appreciated characterized
5_2_ the Harris corner detector
5_3_Shi-Tomasi corner detector and a good tracking
5_4_SIFT (Scale Invariant Feature Transform) Introduction
5_5_SURF profile (acceleration power)
5_6_ for corner detection fAST algorithm
5_7_BRIEF (independent basic characteristics robust binary)
5_8_ORB (fast orientation and spin briefly)
5_9_ feature matching
5_10_ feature matching to find the object homography +
Video analysis
of how the separation method using a background 6_1_
6_2_Meanshift and on Camshift
6_3_ optical flow
Camera calibration and 3D reconstruction
7_1_ camera calibration
7_2_ pose estimation
7_3_ epipolar geometry
depth of a stereoscopic image of FIG. 7_4_
Machine learning
8_1_ appreciated that the KNN
8_2_ handwritten data set using OCR run the KNN
8_3_ appreciated that the SVM
8_4_ handwritten data set using OCR run the SVM
8_5_ understood that K-means clustering
K-means in 8_6_OpenCV
Computational photography
9_1_ denoising
9_2_ image patch
9_3_ high dynamic range
Target detection
10_1_ cascade classifier
10_2_ cascade classifier training
OpenCV Python-the Binding
11_1_OpenCV-Python Bindings
Github
https://github.com/fendouai/OpenCVTutorials